Yes, there is a low unemployment number. As with the rest, you haven’t validated that it’s a good measure of the current state of things. It’s arguably never been.
Yes, there is a low unemployment number. As with the rest, you haven’t validated that it’s a good measure of the current state of things. It’s arguably never been.
Yes, definitely increased some. Where’s the rest of the data, such as part time or unemployed, or even population growth? Like I said, a single number means not so much without context. But it’s an impressive graph.
Curious what shift there has been in full time/part time numbers. Full time wages going up is great for those who are experiencing it, but if there are less actual full timers, is that an improvement?
The art of a good statistician is to make sure what their numbers are saying is an actual reflection of reality. I’m not saying this graph is falsified, I don’t know. But numbers can be made to say anything. I learned this years ago in arguments about what “unemployment” meant. It’s much more complex than a single number, but a single number is used in the media because it’s easier to paint the picture wanted.
I’ve come to the conclusion that all these breach notices and the free stuff they offer for X months is a huge scam to get you sign up up for something. Either that, or every company has woefully underpaid/incompetent IT people. I’m waiting for the next news story to break on another company that somehow got passwords or identity info hacked that was stored in plain text…something I learned how to not do back in the 90s with basic HTML and PHP.
In short - I don’t believe them. They all are using the same form letters, it’s a scheme that they’re all in on.
The issue isn’t the prices. It’s that the prices go up but income doesn’t. Get out the pitchforks, but let’s go after the real villains.
Aside from the orbit change mentioned, the huge increase in stellar radiation would certainly blow much of the lighter elements including water away. The core and some residuals that might remain on the far sides would be all that’s left.
Especially in situations like this where it’s quite possible it would cost less to go back to the basics of better pay and training to create willing workers. Maybe the initial cost was less than what they have to spend to improve things, but add in all the backtracking and cost of mistakes, I doubt it.
That explains it. I read the title and wondered how they are doing prethought crime.
Understanding the variety of speech over a drive-thru speaker can be difficult for a human with experience in the job. I can’t see the current level of voice recognition matching it, especially if it’s using LLMs for processing of what it managed to detect. If I’m placing a food order I don’t need a LLM hallucination to try and fill in blanks of what it didn’t convert correctly to tokens or wasn’t trained on.
Carbon monoxide also contribute to ozone breakdown, and there are additional manmade substances similar to CFCs with chlorine and bromine that are still leaked. Environmental changes in the Antarctic also can increase ozone depletion as well as longer lasting cold air in the stratosphere (observed in 2020 in the Arctic). The mention of emissions was just to suggest that smaller reactions can get lost in all the other problems we have created, although wildfire increases are raising CO.
I didn’t see a mention in the paper on what amount the bump up would be with the maximum amount of AlO2 distributed in the layers of the atmosphere where the reactions would occur. When emissions are in the trillions of tons, I wonder if it would even be measurable.
At least the article came with the numbers. Given what I regularly read about all the pollutants we daily pump into the atmosphere, the numbers in this article for the materials being atomized is…well, they’re very small in scale.
Basically, if a few hundred tons per year is hurting the ozone (and other things), just imagine what the billions of tons per year of emissions does.
Is it a physical HD (magnetic) and making noise? I had one years ago (fortunately my only failure so far) and if I kept persisting to try and read it via a USB recovery drive, I managed to pull enough data off that was important. If it’s a newer SSD, that’s a different thing. Doesn’t mean all the data is gone, just a lot harder (read $$$) to pull. Hopefully it’s just software or a loose cable.
And Apple gets more usage. It’s a win-win for both companies.
That emphasized my point. If someone feels that they had always been a certain way in the past even though they didn’t look it or act it in public, there is no “other side” of themselves. I’m not trying to change the vocabulary, just was an observation of using a word past its usual meaning. That’s how words evolve.
The narrow purpose models seem to be the most successful, so this would support the idea that a general AI isn’t going to happen from LLMs alone. It’s interesting that hallucinations are seen as a problem yet are probably part of why LLMs can be creative (much like humans). We shouldn’t want to stop them, but just control when they happen and be aware of when the AI is off the tracks. A group of different models working together and checking each other might work (and probably has already been tried, it’s hard to keep up).
That makes sense, but then the term “transition” seems incorrect. More of a “resolution”.
Hopefully that’s what it ends up being, as the idea of growing new teeth has been around in science and media for a long time.
The latest work I’ve seen reactivates the genes to start growing any existing teeth that had stopped. It’s for early development problems in children, not for adults. But of course the media seized on the “regrow teeth” part and ran with it. Unless there’s a way to implant new teeth seeds and then get them going, adults are still out of luck.
Have to wonder why he stayed with the party when so much has changed since then.